Search ga_ls8c_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2014-03-07 09:07:42	ga_ls8c_ard_3-0-0_088082_2014-03-06_final
2014-07-23 09:38:06	ga_ls8c_ard_3-0-0_094067_2014-07-23_final
2014-08-08 09:38:15	ga_ls8c_ard_3-0-0_094067_2014-08-08_final
2015-12-01 09:43:34	ga_ls8c_ard_3-0-0_094080_2015-12-01_final
2016-02-03 09:38:16	ga_ls8c_ard_3-0-0_094067_2016-02-03_final
2016-04-29 09:06:42	ga_ls8c_ard_3-0-0_088082_2016-04-28_final
2016-12-14 12:37:44	ga_ls8c_ard_3-2-1_123067_2016-12-14_final
2017-02-05 09:38:14	ga_ls8c_ard_3-0-0_094067_2017-02-05_final
2018-03-03 09:46:29	ga_ls8c_ard_3-0-0_095073_2018-03-03_final
2018-04-13 09:39:34	ga_ls8c_ard_3-0-0_094072_2018-04-13_final
2018-07-18 09:39:25	ga_ls8c_ard_3-0-0_094072_2018-07-18_final
2018-09-20 09:39:28	ga_ls8c_ard_3-0-0_094071_2018-09-20_final
2019-02-11 09:39:35	ga_ls8c_ard_3-0-0_094071_2019-02-11_final
2020-10-02 09:45:55	ga_ls8c_ard_3-1-0_095070_2020-10-02_final
2021-03-23 10:12:56	ga_ls8c_ard_3-2-0_099077_2021-03-23_final
2021-03-28 10:33:03	ga_ls8c_ard_3-2-0_102081_2021-03-28_final
2021-04-12 11:23:24	ga_ls8c_ard_3-2-0_111068_2021-04-12_final
2021-04-15 10:16:36	ga_ls8c_ard_3-2-0_100071_2021-04-15_final
2021-05-09 11:07:27	ga_ls8c_ard_3-2-0_108075_2021-05-09_final
2021-05-20 10:48:38	ga_ls8c_ard_3-2-0_105074_2021-05-20_final
2021-05-25 11:07:38	ga_ls8c_ard_3-2-0_108075_2021-05-25_final
2021-05-27 09:16:48	ga_ls8c_ard_3-2-0_090076_2021-05-26_final
2021-06-04 10:09:30	ga_ls8c_ard_3-2-0_098084_2021-06-04_final
2021-06-08 09:39:37	ga_ls8c_ard_3-2-0_094071_2021-06-08_final
2021-07-23 09:11:18	ga_ls8c_ard_3-2-0_089077_2021-07-22_final
2021-07-30 09:17:08	ga_ls8c_ard_3-2-0_090076_2021-07-29_final
2021-09-07 09:22:20	ga_ls8c_ard_3-2-0_091073_2021-09-06_final
2021-09-19 09:45:54	ga_ls8c_ard_3-2-0_095070_2021-09-19_final
2021-09-25 10:49:43	ga_ls8c_ard_3-2-0_105075_2021-09-25_final
2021-10-14 09:40:38	ga_ls8c_ard_3-2-0_094072_2021-10-14_final
2021-10-14 11:20:19	ga_ls8c_ard_3-2-0_110074_2021-10-14_final
2021-10-20 09:06:46	ga_ls8c_ard_3-2-0_088080_2021-10-19_final
2021-10-27 09:11:45	ga_ls8c_ard_3-2-0_089077_2021-10-26_final
2021-10-30 11:17:33	ga_ls8c_ard_3-2-0_110067_2021-10-30_final
2021-12-01 09:40:11	ga_ls8c_ard_3-2-0_094071_2021-12-01_final
2021-12-04 10:13:53	ga_ls8c_ard_3-2-0_099078_2021-12-04_final
2021-12-05 09:17:52	ga_ls8c_ard_3-2-0_090077_2021-12-04_final
2021-12-24 11:24:47	ga_ls8c_ard_3-2-1_111070_2021-12-24_final
2022-01-11 09:34:41	ga_ls8c_ard_3-2-1_093073_2022-01-11_final
2022-01-18 09:40:26	ga_ls8c_ard_3-2-1_094072_2022-01-18_final
2022-02-04 10:23:37	ga_ls8c_ard_3-2-1_101072_2022-02-04_final
2022-02-08 09:56:53	ga_ls8c_ard_3-2-1_097067_2022-02-08_final
2022-02-14 09:21:46	ga_ls8c_ard_3-2-1_091072_2022-02-13_final
2022-03-10 10:10:18	ga_ls8c_ard_3-2-1_099070_2022-03-10_final
2022-04-08 11:18:06	ga_ls8c_ard_3-2-1_110070_2022-04-08_final
2022-04-09 10:27:17	ga_ls8c_ard_3-2-1_101082_2022-04-09_final
2022-04-17 09:33:29	ga_ls8c_ard_3-2-1_093071_2022-04-17_final
2022-04-27 11:52:58	ga_ls8c_ard_3-2-1_115080_2022-04-27_final
2022-05-04 11:57:13	ga_ls8c_ard_3-2-1_116075_2022-05-04_final
2022-05-04 11:57:37	ga_ls8c_ard_3-2-1_116076_2022-05-04_final
2022-05-07 09:11:11	ga_ls8c_ard_3-2-1_089077_2022-05-06_final
2022-05-10 11:20:12	ga_ls8c_ard_3-2-1_110075_2022-05-10_final
2022-07-11 09:58:24	ga_ls8c_ard_3-2-1_096086_2022-07-11_final
2022-07-27 11:31:50	ga_ls8c_ard_3-2-1_112072_2022-07-27_final
2022-07-29 09:40:13	ga_ls8c_ard_3-2-1_094071_2022-07-29_final
2022-08-29 10:39:58	ga_ls8c_ard_3-2-1_103081_2022-08-29_final
2022-09-10 09:22:41	ga_ls8c_ard_3-2-1_091073_2022-09-09_final
2022-10-04 11:53:49	ga_ls8c_ard_3-2-1_115080_2022-10-04_final
2022-10-07 09:08:07	ga_ls8c_ard_3-2-1_088083_2022-10-06_final
2022-10-07 10:46:36	ga_ls8c_ard_3-2-1_104082_2022-10-07_final
2022-10-20 10:09:42	ga_ls8c_ard_3-2-1_099067_2022-10-20_final
2022-11-26 10:33:49	ga_ls8c_ard_3-2-1_102081_2022-11-26_final
2022-11-30 10:10:18	ga_ls8c_ard_3-2-1_098084_2022-11-30_final
2022-12-08 10:56:08	ga_ls8c_ard_3-2-1_106075_2022-12-08_final
2023-01-02 10:49:25	ga_ls8c_ard_3-2-1_105074_2023-01-02_final
2023-01-08 10:11:31	ga_ls8c_ard_3-2-1_099072_2023-01-08_final
2023-01-08 11:53:36	ga_ls8c_ard_3-2-1_115080_2023-01-08_final
2023-02-01 11:01:45	ga_ls8c_ard_3-2-1_107074_2023-02-01_final
2023-02-02 10:09:43	ga_ls8c_ard_3-2-1_098083_2023-02-02_final
2023-02-15 09:33:55	ga_ls8c_ard_3-2-1_093071_2023-02-15_final
2023-03-17 09:45:57	ga_ls8c_ard_3-2-1_095071_2023-03-17_final
2023-03-17 11:24:50	ga_ls8c_ard_3-2-1_111071_2023-03-17_final
2023-04-04 09:34:34	ga_ls8c_ard_3-2-1_093074_2023-04-04_final
2023-04-27 09:39:20	ga_ls8c_ard_3-2-1_094071_2023-04-27_final
2023-05-15 11:07:13	ga_ls8c_ard_3-2-1_108075_2023-05-15_final
2023-05-20 11:23:22	ga_ls8c_ard_3-2-1_111069_2023-05-20_final
2023-05-29 11:23:12	ga_ls8c_ard_3-2-1_110084_2023-05-29_final
2023-06-07 09:33:50	ga_ls8c_ard_3-2-1_093073_2023-06-07_final
2023-07-15 10:39:32	ga_ls8c_ard_3-2-1_103082_2023-07-15_final
2023-07-27 09:22:16	ga_ls8c_ard_3-2-1_091074_2023-07-26_final
2023-07-31 10:39:16	ga_ls8c_ard_3-2-1_103081_2023-07-31_final
2023-08-21 09:17:04	ga_ls8c_ard_3-2-1_090076_2023-08-20_final
2023-08-24 09:46:00	ga_ls8c_ard_3-2-1_095071_2023-08-24_final
2023-08-29 10:02:57	ga_ls8c_ard_3-2-1_098067_2023-08-29_final
2023-08-30 10:49:48	ga_ls8c_ard_3-2-1_105076_2023-08-30_final
2023-09-11 11:13:45	ga_ls8c_ard_3-2-1_109074_2023-09-11_final
2023-09-13 09:28:54	ga_ls8c_ard_3-2-1_091090_2023-09-12_final
2023-09-27 09:34:33	ga_ls8c_ard_3-2-1_093073_2023-09-27_final
2023-10-15 09:27:26	ga_ls8c_ard_3-2-1_091086_2023-10-14_final
2023-10-27 09:46:13	ga_ls8c_ard_3-2-1_095071_2023-10-27_final
2023-11-10 09:56:53	ga_ls8c_ard_3-2-1_097067_2023-11-10_final
2023-11-25 10:53:26	ga_ls8c_ard_3-2-1_106069_2023-11-25_final
2023-11-26 10:04:12	ga_ls8c_ard_3-2-1_097085_2023-11-26_final
2023-12-01 11:57:35	ga_ls8c_ard_3-2-1_116075_2023-12-01_final
2023-12-01 11:57:59	ga_ls8c_ard_3-2-1_116076_2023-12-01_final
2024-01-01 11:13:51	ga_ls8c_ard_3-2-1_109074_2024-01-01_final
2024-01-24 11:19:33	ga_ls8c_ard_3-2-1_110073_2024-01-24_final
2024-02-28 11:53:12	ga_ls8c_ard_3-2-1_115080_2024-02-28_final
2024-03-15 11:53:02	ga_ls8c_ard_3-2-1_115080_2024-03-15_final
2024-04-06 09:34:03	ga_ls8c_ard_3-2-1_093073_2024-04-06_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years